Design Of Data Acquisition System Research Articles

Design and analysis of DNC production data acquisition and monitoring system

The DNC production data acquisition system is designed based on TCP/IP protocol, which is responsible for monitoring the data of the single state of machine tool production and collecting production and processing information. In this paper, we analyze the design of a DNC production data collection and monitoring system. The first step is to design the framework of the entire system, then propose an implementation method to exchange client and server data and combine it with a network connection, and design a data request program for server and client. Optimized server-side data collection patterns were upgraded to ensure that clients could parse log information more efficiently.

射频负离子源引出电源控制和采集系统设计

射频负离子源引出电源控制和采集系统设计

Design of multi-channel data acquisition system for real-time perception lidar

Lidar is the most effective means for real-time environmental awareness. Based on the demand of multi-channel perception lidar with large amount of data, real-time data transmission and miniaturization, a multi-channel parallel signal acquisition and processing system was designed based on FPGA and DSP. A self-developed three-dimensional lidar was designed, including mechanical scanning, linear array detection, data acquisition and control system. The system was implemented and verified in the three-dimensional point cloud imaging experiments. In this system, FPGA was responsible for multi-channel lidar data acquisition, control and transmission. DSP was used for data calculation and uploading the point cloud data to the upper computer through the network to realize the real-time display of point cloud. The experiments of lidar show that the proposed real-time data acquisition system could meet the requirements of point cloud calculation at 2 Mpts/s, with real time data acquisition and procession at 20 fps. The rapid calculation of lidar point cloud of the environment and obstacles is realized. It can be applied to automatic driving, navigation obstacle avoidance, perimeter security and etc.

Network Data Acquisition and Monitoring System for Intensive Care Mechanical Ventilation Treatment

The rise of model-based and machine learning methods have created increasingly realistic opportunities to implement personalized, patient-specific mechanical ventilation (MV) in the ICU. These methods require monitoring of real-time patient ventilation waveform data (VWD) during MV treatment. However, there are relatively few non-invasive and/or non-proprietary systems to monitor and record patient-specific lung condition in real-time. In this paper, we present a CARE network data acquisition and monitoring system (CARENet) to automate data collection and to remotely monitor patient-specific lung condition and ventilation parameters. The automated system acquires VWD from a mechanical ventilator using a data acquisition device (DAQ), stores data in network-attached storage (NAS), and processes VWDs via a data management platform (DMP) web application. The web application enables real-time and retrospective model-based monitoring and analysis of clinical MV data. In particular, CARENet provides detailed breath-by-breath patient-specific respiratory mechanics, as well as the overall trends assessing changes in patient condition. Validation testing with a retrospective data set illustrated how breath-to-breath and time-varying patient-ventilator interaction during MV can be monitored, and, in turn, can be used to guide MV treatment. The network data acquisition system design presented is low-cost, open, and enables continuous, automated, scalable, real-time collection and analysis of waveform data, to help improve decision making, care, and outcomes in MV.

Infrasound measurements of tornadoes and other severe storm events at close range

Recent experimental evidence suggests that, during tornadogenesis and through the life a tornado, acoustic waves at frequencies below human hearing (infrasound) are produced. To date, acoustic data required to identify the fluid mechanism responsible for this infrasound has been limited—often gathered by large fixed installations. The design and deployment of a mobile Ground-based Local Infrasound Data Acquisition (GLINDA) system was completed at Oklahoma State University to expand the number of samples and enable close-range measurements which would mitigate the measurement uncertainty associated with long distance atmospheric propagation. GLINDA has been deployed alongside Oklahoma-based media storm chasers since May 2020 and has already returned data over multiple severe weather events, including tornadic measurements acquired with GLINDA on 22 May 2020 in Lakin, Kansas. The GLINDA-equipped storm chaser vehicle can additionally provide acoustic data on other weather events such as wildfires and winter weather storms as the vehicle is appropriate for sustained, close observation of these environments. This presentation will cover system design, measurement capabilities, and acoustic production by select weather phenomenon.

Research on Industrial Control Network Security Data Acquisition System

In this paper, based on the characteristics of industrial control network security data, research data analysis and data storage technology, design and development of industrial control network security data acquisition system, and through the AFL fuzz method for fuzzy testing, improve the system’s robustness and endogenous security performance. The realization of massive heterogeneous data collection and efficient normalization of industrial control networks can better serve the data layer and promote the rapid development of digitalization of industrial enterprises.

Fuzzy logic applications for data acquisition systems of practical measurement

In laboratory works, the error in measurement, reading the measurring devices, similarity of experimental data and lack of understanding of practicum materials are often found. These will lead to the inacurracy and invalid in data obtanined. As an alternative solution, application of fuzzy logic to the data acquisition system using a web server can used. This research focuses on the design of data acquisition systems with the target of reducing the error rate in measuring experimental data on the laboratory. Data measurement on laboratory practice module is done by taking the analog data resulted from the measurement. Furthermore, the data are converted into digital data via arduino and stored on the server. To get valid data, the server will process the data by using fuzzy logic method. The valid data are integrated into a web server so that it can be accessed as needed. The results showed that the data acquisition system based on fuzzy logic is able to provide recommendation of measurement result on the lab works based on the degree value of membership and truth value. Fuzzy logic will select the measured data with a maximum error percentage of 5% and select the measurement result which has minimum error rate.

Data acquisition and control system design for PET cyclotron and negative hydrogen ion source

The PET cyclotron can provide 10 MeV proton beams, the beam intensity for 50 eμA . H− ion beams are accelerated to 10 MeV energy and then the proton beams are obtained by stripping. The control system includes several subsystems: data acquisition system, data processing system, data archiving system and machine protection system. On the hardware, the standard plugins of control modules, PLC and FPGA integrated circuits were used in data acquisition system. On the software, design patterns and modular design methods were applied. The control software based on the distributed control system structure was developed with Visual C++. The stability during beam commissioning verified reliability of the proposed control system. With the help of the control system, the ion source has successfully extracted the H− ion beams with expectations of a dc of 1.5 mA @ 25 KeV extraction energy and 2000 W arc power.

Design and Construction of a Vibration Data Acquisition System for Road Vehicles

This article describes the design of a vibration data acquisition system which can be mounted on the undercarriage of a vehicle to acquire information about the quality of and defects in road surfaces. It is important to be able to deduce the condition of a road section from its data. For practical reasons, a microcontroller-based control unit was used and a separate power supply created. Bumps in the road were detected by a piezoelectric accelerometer. Once the system was completed, different measurements were made and the results analyzed. According to the results, it can be stated that the whole system worked well since they are identical to reality. The bumps in the road were clearly visible on the diagrams. It was concluded that the completed vibration data acquisition system is more than capable of detecting bumps in roads. The advantage of the system is that it can be easily mounted on any car which does not need to be driven at low speeds.

Development and application of HVDC Cable polarization/depolarization current detecting instrument

In order to test the insulation state of 6kV XLPE cable reliably, the system design and related test work are carried out in this paper. High voltage excitation source, weak current test module, data acquisition system, communication, power supply and other hardware design work are described. The control of high voltage signal, switching of measurement mode, data acquisition of current and software design of man-machine interface are introduced. Finally, the designed test instrument is presented, and the field test results show that the home-made polarization and depolarization current (PDC) instrument can be used for testing, and the overall test performance is relatively good.

Use of Wireless Sensor and Microcontroller to Develop Water-level Monitoring System

This paper presents the design and development process of Wireless Data Acquisition System (WiDAS) which is a multi-sensor system for water level monitoring. It also consists of a microcontroller (ATMega8L), a data display device and an ultrasonic distance sensor (Parallax Ping). This wireless based acquisition system can communicate through RF module (Tx-Rx) from the measurement sources, such as sensors and devices as digital or analog values over a period of time. The developed system has the option to store the data in the computer memory. It was tested in real time and showed continuous and correct data. The developed system is consisting of a number of features, such as low energy consumption, easy to operate and well-built invulnerability, which cangive successful results to measure the water level. Finally, its flexibility facilitates an extensive application span for self-directed data collection with trustworthy transmission in few sparse points over huge areas.

Research on Data Acquisition System of EMU Structure Health Monitoring Based on DSP and FPGA

According to the characteristic that structural health monitoring have many monitoring sensors and monitoring signal types, with DSP and FPGA used as the core controller, a data collection system was designed. The designed system can realize multi-channel parallel data collection, flexible port configuration and good scalability, which meets the requirements of high-speed collection and processing and real-time online monitoring. The designed data acquisition system has the advantages of high performance, low cost and convenient application. In addition, the system has a wide sampling frequency range, which can adapt to a variety of sensor signal sampling requirements, is easy to install, easy to achieve network configuration, and can better meet the structural health monitoring of railway vehicles.

Modelling of an industrial die casting process for the production of aluminum automotive parts

Die (permanent) casting is one of the major manufacturing processes for aluminum automotive parts thanks to its ability to provide a good balance between mechanical performance and production efficiency. In the die casting industry, computational modelling has been widely adopted to analyze, troubleshoot and optimize die design and process parameters. In this work, a computational modelling methodology including key process boundary conditions and material properties has been developed to simulate an industrial die casting process of an aluminum automotive part. It has been demonstrated that the model is accurate and robust with respect to temperature and defect prediction by comparison with a large amount of high-quality plant-trial data. The data was acquired from an in-house designed data acquisition system (DAQ) connected to an instrumented die and industrial production equipment in a production facility.

Design of BeiDou-based data acquisition system for oil and gas wells in remote areas

The real-time operation status monitoring of natural gas wells in the wilderness area has problem such as construction suffering, high maintenance cost, and high data transmission cost. In view of the above problems, this paper studies the design of a multi-node data transmission system using Beidou satellite short message as the data transmission means. Firstly, analysed the advantages and disadvantages of several common data transmission methods and introduced the Beidou short message; Secondly, introduced the main working parameters of the oil and gas well; Thirdly, The data acquisition and transmission system was designed in detail and the prototype system was developed. The experimental results show that the data transmission success rate of the system can reach more than 98%. This system solution can provide a useful reference for engineering with similar requirements.

Design and Performance of Data Acquisition and Control System for the Muon g-2 Laser Calibration

The Muon g-2 Experiment at Fermilab (E989) will measure the muon magnetic anomaly with unprecedented precision (0.14 ppm), which yields a factor of 4 improvement with respect to the previous measurements at Brookhaven National Laboratory (BNL) (E821). To achieve this goal, the relative response of each calorimeter channel must be calibrated and monitored at a level better than $10^{-3}$ in the time window of the muon fill. The calibration system uses a laser source and photodetectors. The data acquisition (DAQ) of the system is designed around two field-programmable gate array (FPGA)-based boards and a custom crate bus. The front-end board manages the photodetector operation and signal processing and performs a first-level data concentration task. Up to 12 FPGA boards can be housed in a 6U crate. A readout master controls the boards, implements event-building functionalities, manages the monitoring interface, and facilitates calibration and debugging tasks. A gigabit-ethernet interface is used to transfer data to the on-line farm for storage and further processing. Presently, the system is working at Fermi National Accelerator Laboratory (FNAL). In this article, we present the DAQ system design, run control user interface, and system evaluation.

An effective speed controller and GPRS based data acquisition system design for DC motors.

Parallel to the scientific and technological development, control over hardware used in industry and in daily life is being realized by using remote-controlled systems. Internet, mobile communications, and infrared and wireless control systems are often preferred. The control of a direct-current motor (DCM), which has become a part of our daily life, is achieved using a Pocket PC and General Packet Radio Service (GPRS). An Internet-based human-machine interface constitutes an embedded Visual Studio, which includes Windows CE 5.0 software and Smartphone and Pocket PC applications. An application server protocol is created using basic principles of GPRS control or communication system control. Client software is developed, real-time torque, speed, power, and current of a DCM are monitored, and motor speed control is performed using a monitoring system written in the C# language without using any additional equipment. The proposed system offers the possibility of real-time monitoring in a cost-effective manner.

The Design of Fitness Data Acquisition System Based on ZigBee

The Design of Fitness Data Acquisition System Based on ZigBee

Design of Green Building Energy Consumption Data Acquisition System Based on Biological Nano Sensors

The traditional energy consumption data acquisition system for green building has low accuracy. Based on biological nano-sensors, the energy consumption data acquisition system for green building is optimized. The original chip of the data acquisition sensor of AD9280 chip is adopted, the sampling circuit of energy data is designed according to the construction of attenuation circuit, and the rs-485 communication interface electricity meter is connected with the data collector reflecting the building energy consumption to complete the system hardware design. The function of the data collector was analyzed and the collection program was designed. The energy consumption data analysis method was designed after the serial port code was converted to complete the software design of the energy consumption data collection system for green buildings. It is found that the designed system solves the problem of "data missing zero" and can effectively eliminate the fault of communication lines. Moreover, when the data volume is 800 bits, the time of the energy consumption data acquisition system is only 2.5 s, which is significantly lower than the other two collection methods, and the collection efficiency is high.

Design of data acquisition and transmission system for BOTDA

According to the demand of BOTDA optical fibre sensor for real-time application, a high-speed data acquisition system with graphical operation interface is designed by using FPGA and USB. In this paper, hardware architecture and logic design are carried out for data acquisition with FPGA as the control device, and the upper computer with functions of data display and graphic demonstration is designed by using C# language on the PC terminal. Finally, joint debugging is carried out for the lower computer and the upper computer, and the experimental results show that the high-speed data acquisition and transmission functions are successfully realized, which meets the design requirements of the data acquisition system in BOTDA optical fibre sensor.

Design of a new wireless data acquisition system for civil structural monitoring

Traditional civil structure wired monitoring systems suffer complicated wiring, high cost, poor flexibility, and available wireless sensors network (WSN)-based wireless monitoring systems are inconvenient to access the internet. In this paper, based on the 6LoWPAN means: IPv6 low-power wireless personal area network WSN, a new wireless data acquisition system is proposed for structural monitoring applications, which consists of data acquisition nodes, a border node and a remote monitoring centre. The hardware design of the wireless data acquisition system is based on the CC2538 wireless transceiver, and inertial sensors and temperature and humidity sensors are integrated. Based on the Contiki-3.0 embedded operating system, the embedded application software of 6LoWPAN data acquisition nodes and border router nodes are designed. The remote monitoring centre of structural monitoring system is developed using the graphical user interface development environment (GUIDE) tool of the MATLAB software. Experimental testing results show that the system is stable and reliable and can realise interconnection between 6LoWPAN network and traditional IPv4 network. Moreover, the network performance is satisfactory. Therefore, the proposed wireless structural monitoring system has a good practical engineering application value.